CrossFit Benchmark Workouts

Dataset statistics

Number of variables	23
Number of observations	85331
Missing cells	1003193
Missing cells (%)	51.1%
Duplicate rows	391
Duplicate rows (%)	0.5%
Total size in memory	15.0 MiB
Average record size in memory	184.0 B

Variable types

Text	3
Unsupported	1
Categorical	4
Numeric	15

Alerts

`Year` has constant value ""	Constant
Dataset has 391 (0.5%) duplicate rows	Duplicates
`Back Squat (lbs)` is highly overall correlated with `Clean and Jerk (lbs)` and 5 other fields	High correlation
`Clean and Jerk (lbs)` is highly overall correlated with `Back Squat (lbs)` and 8 other fields	High correlation
`Deadlift (lbs)` is highly overall correlated with `Back Squat (lbs)` and 4 other fields	High correlation
`Division` is highly overall correlated with `Snatch (lbs)`	High correlation
`Fight Gone Bad` is highly overall correlated with `Clean and Jerk (lbs)` and 9 other fields	High correlation
`Filthy 50 (s)` is highly overall correlated with `Fight Gone Bad` and 4 other fields	High correlation
`Fran (s)` is highly overall correlated with `Back Squat (lbs)` and 9 other fields	High correlation
`Grace (s)` is highly overall correlated with `Back Squat (lbs)` and 6 other fields	High correlation
`Helen (s)` is highly overall correlated with `Clean and Jerk (lbs)` and 9 other fields	High correlation
`L1 Benchmark (s)` is highly overall correlated with `Fight Gone Bad` and 5 other fields	High correlation
`Max Pull-ups` is highly overall correlated with `Back Squat (lbs)` and 9 other fields	High correlation
`Qualifier` is highly overall correlated with `Rank`	High correlation
`Rank` is highly overall correlated with `Qualifier`	High correlation
`Run 5k (s)` is highly overall correlated with `Fight Gone Bad` and 2 other fields	High correlation
`Snatch (lbs)` is highly overall correlated with `Back Squat (lbs)` and 8 other fields	High correlation
`Sprint 400m (s)` is highly overall correlated with `Clean and Jerk (lbs)` and 4 other fields	High correlation
`Division` is highly imbalanced (51.9%)	Imbalance
`Games_Level` is highly imbalanced (80.4%)	Imbalance
`Qualifier` is highly imbalanced (57.5%)	Imbalance
`Affiliate` has 25090 (29.4%) missing values	Missing
`Country` has 85331 (100.0%) missing values	Missing
`Region` has 2474 (2.9%) missing values	Missing
`Division` has 2474 (2.9%) missing values	Missing
`Rank` has 57254 (67.1%) missing values	Missing
`Games_Level` has 57254 (67.1%) missing values	Missing
`Year` has 57254 (67.1%) missing values	Missing
`Qualifier` has 57254 (67.1%) missing values	Missing
`Back Squat (lbs)` has 7460 (8.7%) missing values	Missing
`Clean and Jerk (lbs)` has 10332 (12.1%) missing values	Missing
`Deadlift (lbs)` has 5954 (7.0%) missing values	Missing
`Snatch (lbs)` has 13051 (15.3%) missing values	Missing
`Fight Gone Bad` has 63744 (74.7%) missing values	Missing
`Max Pull-ups` has 49677 (58.2%) missing values	Missing
`Chad1000x (s)` has 84791 (99.4%) missing values	Missing
`L1 Benchmark (s)` has 85182 (99.8%) missing values	Missing
`Filthy 50 (s)` has 70433 (82.5%) missing values	Missing
`Fran (s)` has 39621 (46.4%) missing values	Missing
`Grace (s)` has 48249 (56.5%) missing values	Missing
`Helen (s)` has 58791 (68.9%) missing values	Missing
`Run 5k (s)` has 54881 (64.3%) missing values	Missing
`Sprint 400m (s)` has 66642 (78.1%) missing values	Missing
`Country` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2024-02-17 03:19:11.266802
Analysis finished	2024-02-17 03:19:39.687731
Duration	28.42 seconds
Software version	ydata-profiling vv4.6.4
Download configuration	config.json

Athlete
Text

Distinct	81868
Distinct (%)	95.9%
Missing	0
Missing (%)	0.0%
Memory size	666.8 KiB

Length

Max length	45
Median length	36
Mean length	13.527581
Min length	3

Characters and Unicode

Total characters	1154322
Distinct characters	194
Distinct categories	16 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	79211 ?
Unique (%)	92.8%

Sample

1st row	Yagiz Diyaroglu
2nd row	Jandré Erasmus
3rd row	Roan van Heerden
4th row	David Swarts
5th row	Colin Pinkham

Value	Count	Frequency (%)
michael	1251	0.7%
jason	1082	0.6%
david	1043	0.6%
brian	830	0.5%
smith	815	0.5%
john	784	0.4%
ryan	719	0.4%
chris	711	0.4%
daniel	707	0.4%
andrew	681	0.4%
Other values (47206)	167013	95.1%

Most occurring characters

Value	Count	Frequency (%)
a	109593	9.5%
e	106955	9.3%
	90318	7.8%
n	83040	7.2%
r	77596	6.7%
i	74313	6.4%
o	64638	5.6%
l	56348	4.9%
s	46419	4.0%
t	41640	3.6%
Other values (184)	403462	35.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	883401	76.5%
Uppercase Letter	178735	15.5%
Space Separator	90318	7.8%
Dash Punctuation	1158	0.1%
Other Punctuation	662	0.1%
Other Letter	13	< 0.1%
Final Punctuation	9	< 0.1%
Decimal Number	7	< 0.1%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%
Other values (6)	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	109593	12.4%
e	106955	12.1%
n	83040	9.4%
r	77596	8.8%
i	74313	8.4%
o	64638	7.3%
l	56348	6.4%
s	46419	5.3%
t	41640	4.7%
h	31198	3.5%
Other values (85)	191661	21.7%

Uppercase Letter

Value	Count	Frequency (%)
M	17464	9.8%
J	14667	8.2%
S	14361	8.0%
C	13775	7.7%
B	12982	7.3%
A	12848	7.2%
R	9829	5.5%
D	9766	5.5%
L	8677	4.9%
K	8126	4.5%
Other values (56)	56240	31.5%

Other Letter

Value	Count	Frequency (%)
뚱	2	15.4%
현	2	15.4%
태	1	7.7%
보	1	7.7%
욱	1	7.7%
용	1	7.7%
정	1	7.7%
송	1	7.7%
희	1	7.7%
훈	1	7.7%

Decimal Number

Value	Count	Frequency (%)
1	2	28.6%
7	1	14.3%
4	1	14.3%
3	1	14.3%
9	1	14.3%
0	1	14.3%

Other Punctuation

Value	Count	Frequency (%)
'	376	56.8%
.	283	42.7%
,	3	0.5%

Dash Punctuation

Value	Count	Frequency (%)
-	1157	99.9%
–	1	0.1%

Final Punctuation

Value	Count	Frequency (%)
’	8	88.9%
”	1	11.1%

Space Separator

Value	Count	Frequency (%)
	90318	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	6	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	6	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	2	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Other Number

Value	Count	Frequency (%)
³	1	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Other Symbol

Value	Count	Frequency (%)
¦	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
“	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1062046	92.0%
Common	92173	8.0%
Cyrillic	73	< 0.1%
Greek	17	< 0.1%
Hangul	13	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	109593	10.3%
e	106955	10.1%
n	83040	7.8%
r	77596	7.3%
i	74313	7.0%
o	64638	6.1%
l	56348	5.3%
s	46419	4.4%
t	41640	3.9%
h	31198	2.9%
Other values (112)	370306	34.9%

Cyrillic

Value	Count	Frequency (%)
и	8	11.0%
о	7	9.6%
н	5	6.8%
т	5	6.8%
р	4	5.5%
в	4	5.5%
с	4	5.5%
а	4	5.5%
й	3	4.1%
е	3	4.1%
Other values (17)	26	35.6%

Common

Value	Count	Frequency (%)
	90318	98.0%
-	1157	1.3%
'	376	0.4%
.	283	0.3%
’	8	< 0.1%
(	6	< 0.1%
)	6	< 0.1%
,	3	< 0.1%
1	2	< 0.1%
`	2	< 0.1%
Other values (12)	12	< 0.1%

Greek

Value	Count	Frequency (%)
Ι	3	17.6%
Γ	3	17.6%
Σ	2	11.8%
Ρ	1	5.9%
Η	1	5.9%
Δ	1	5.9%
Λ	1	5.9%
Ϊ	1	5.9%
Α	1	5.9%
Ο	1	5.9%
Other values (2)	2	11.8%

Hangul

Value	Count	Frequency (%)
뚱	2	15.4%
현	2	15.4%
태	1	7.7%
보	1	7.7%
욱	1	7.7%
용	1	7.7%
정	1	7.7%
송	1	7.7%
희	1	7.7%
훈	1	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1152390	99.8%
None	1835	0.2%
Cyrillic	73	< 0.1%
Hangul	13	< 0.1%
Punctuation	11	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	109593	9.5%
e	106955	9.3%
	90318	7.8%
n	83040	7.2%
r	77596	6.7%
i	74313	6.4%
o	64638	5.6%
l	56348	4.9%
s	46419	4.0%
t	41640	3.6%
Other values (58)	401530	34.8%

None

Value	Count	Frequency (%)
é	390	21.3%
á	177	9.6%
ö	142	7.7%
í	138	7.5%
ó	135	7.4%
ø	99	5.4%
ä	97	5.3%
ñ	92	5.0%
ã	53	2.9%
ü	51	2.8%
Other values (74)	461	25.1%

Cyrillic

Value	Count	Frequency (%)
и	8	11.0%
о	7	9.6%
н	5	6.8%
т	5	6.8%
р	4	5.5%
в	4	5.5%
с	4	5.5%
а	4	5.5%
й	3	4.1%
е	3	4.1%
Other values (17)	26	35.6%

Punctuation

Value	Count	Frequency (%)
’	8	72.7%
–	1	9.1%
“	1	9.1%
”	1	9.1%

Hangul

Value	Count	Frequency (%)
뚱	2	15.4%
현	2	15.4%
태	1	7.7%
보	1	7.7%
욱	1	7.7%
용	1	7.7%
정	1	7.7%
송	1	7.7%
희	1	7.7%
훈	1	7.7%

Affiliate
Text

MISSING

Distinct	12926
Distinct (%)	21.5%
Missing	25090
Missing (%)	29.4%
Memory size	666.8 KiB

Length

Max length	42
Median length	36
Mean length	17.212878
Min length	10

Characters and Unicode

Total characters	1036921
Distinct characters	121
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3730 ?
Unique (%)	6.2%

Sample

1st row	CrossFit 10 Star
2nd row	Cape CrossFit
3rd row	CrossFit Greater Heights
4th row	Higher Life CrossFit
5th row	CrossFit Impi

Value	Count	Frequency (%)
crossfit	60239	42.2%
city	981	0.7%
the	511	0.4%
north	491	0.3%
south	481	0.3%
valley	474	0.3%
iron	447	0.3%
west	398	0.3%
east	355	0.2%
park	336	0.2%
Other values (11713)	78000	54.7%

Most occurring characters

Value	Count	Frequency (%)
s	138236	13.3%
o	91310	8.8%
r	90204	8.7%
i	88708	8.6%
t	86412	8.3%
	82477	8.0%
C	68727	6.6%
F	64858	6.3%
e	44687	4.3%
a	37854	3.7%
Other values (111)	243448	23.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	728230	70.2%
Uppercase Letter	210734	20.3%
Space Separator	82481	8.0%
Decimal Number	13880	1.3%
Other Punctuation	931	0.1%
Dash Punctuation	423	< 0.1%
Close Punctuation	117	< 0.1%
Open Punctuation	117	< 0.1%
Format	5	< 0.1%
Final Punctuation	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	138236	19.0%
o	91310	12.5%
r	90204	12.4%
i	88708	12.2%
t	86412	11.9%
e	44687	6.1%
a	37854	5.2%
n	28621	3.9%
l	22985	3.2%
u	13324	1.8%
Other values (52)	85889	11.8%

Uppercase Letter

Value	Count	Frequency (%)
C	68727	32.6%
F	64858	30.8%
S	8480	4.0%
B	6418	3.0%
T	5209	2.5%
A	5136	2.4%
R	5086	2.4%
M	4797	2.3%
P	4591	2.2%
L	4351	2.1%
Other values (26)	33081	15.7%

Decimal Number

Value	Count	Frequency (%)
1	2328	16.8%
0	2151	15.5%
2	1560	11.2%
5	1329	9.6%
3	1266	9.1%
4	1246	9.0%
7	1104	8.0%
8	1032	7.4%
6	984	7.1%
9	880	6.3%

Other Punctuation

Value	Count	Frequency (%)
.	461	49.5%
'	417	44.8%
&	46	4.9%
:	6	0.6%
/	1	0.1%

Space Separator

Value	Count	Frequency (%)
	82477	> 99.9%
	4	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	423	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	117	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	117	100.0%

Format

Value	Count	Frequency (%)
	5	100.0%

Final Punctuation

Value	Count	Frequency (%)
’	2	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	938964	90.6%
Common	97957	9.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	138236	14.7%
o	91310	9.7%
r	90204	9.6%
i	88708	9.4%
t	86412	9.2%
C	68727	7.3%
F	64858	6.9%
e	44687	4.8%
a	37854	4.0%
n	28621	3.0%
Other values (88)	199347	21.2%

Common

Value	Count	Frequency (%)
	82477	84.2%
1	2328	2.4%
0	2151	2.2%
2	1560	1.6%
5	1329	1.4%
3	1266	1.3%
4	1246	1.3%
7	1104	1.1%
8	1032	1.1%
6	984	1.0%
Other values (13)	2480	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1036143	99.9%
None	771	0.1%
Punctuation	7	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	138236	13.3%
o	91310	8.8%
r	90204	8.7%
i	88708	8.6%
t	86412	8.3%
	82477	8.0%
C	68727	6.6%
F	64858	6.3%
e	44687	4.3%
a	37854	3.7%
Other values (62)	242670	23.4%

None

Value	Count	Frequency (%)
ä	123	16.0%
ö	103	13.4%
í	84	10.9%
é	54	7.0%
ü	50	6.5%
ø	46	6.0%
ã	40	5.2%
è	34	4.4%
á	33	4.3%
ç	25	3.2%
Other values (37)	179	23.2%

Punctuation

Value	Count	Frequency (%)
	5	71.4%
’	2	28.6%

Country
Unsupported

MISSING REJECTED UNSUPPORTED

Missing	85331
Missing (%)	100.0%
Memory size	666.8 KiB

Region
Text

MISSING

Distinct	139
Distinct (%)	0.2%
Missing	2474
Missing (%)	2.9%
Memory size	666.8 KiB

Length

Max length	33
Median length	31
Mean length	10.761119
Min length	4

Characters and Unicode

Total characters	891634
Distinct characters	52
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19 ?
Unique (%)	< 0.1%

Sample

1st row	Africa
2nd row	Africa
3rd row	Africa
4th row	Africa
5th row	Africa

Value	Count	Frequency (%)
worldwide	25791	19.7%
north	21356	16.3%
america	19742	15.1%
east	8392	6.4%
europe	7873	6.0%
united	6685	5.1%
states	6200	4.7%
south	5976	4.6%
west	5354	4.1%
central	5103	3.9%
Other values (139)	18372	14.0%

Most occurring characters

Value	Count	Frequency (%)
r	87272	9.8%
e	81878	9.2%
t	73453	8.2%
i	66117	7.4%
o	65593	7.4%
d	63272	7.1%
a	62571	7.0%
w	52014	5.8%
	47987	5.4%
l	36629	4.1%
Other values (42)	254848	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	738605	82.8%
Uppercase Letter	104962	11.8%
Space Separator	47987	5.4%
Other Punctuation	80	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	87272	11.8%
e	81878	11.1%
t	73453	9.9%
i	66117	9.0%
o	65593	8.9%
d	63272	8.6%
a	62571	8.5%
w	52014	7.0%
l	36629	5.0%
h	28800	3.9%
Other values (16)	121006	16.4%

Uppercase Letter

Value	Count	Frequency (%)
A	24812	23.6%
N	22209	21.2%
E	16323	15.6%
S	13279	12.7%
C	9221	8.8%
U	6703	6.4%
W	5354	5.1%
M	1796	1.7%
O	1552	1.5%
L	1105	1.1%
Other values (13)	2608	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	79	98.8%
'	1	1.2%

Space Separator

Value	Count	Frequency (%)
	47987	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	843567	94.6%
Common	48067	5.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	87272	10.3%
e	81878	9.7%
t	73453	8.7%
i	66117	7.8%
o	65593	7.8%
d	63272	7.5%
a	62571	7.4%
w	52014	6.2%
l	36629	4.3%
h	28800	3.4%
Other values (39)	225968	26.8%

Common

Value	Count	Frequency (%)
	47987	99.8%
,	79	0.2%
'	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	891633	> 99.9%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	87272	9.8%
e	81878	9.2%
t	73453	8.2%
i	66117	7.4%
o	65593	7.4%
d	63272	7.1%
a	62571	7.0%
w	52014	5.8%
	47987	5.4%
l	36629	4.1%
Other values (41)	254847	28.6%

None

Value	Count	Frequency (%)
ô	1	100.0%

Division
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	33
Distinct (%)	< 0.1%
Missing	2474
Missing (%)	2.9%
Memory size	666.8 KiB

Men	41537
Women	19322
Men (35-39)	4743
Men (40-44)	3590
Men (45-49)	2369
Other values (28)	11296

Length

Max length	21
Median length	3
Mean length	5.7476616
Min length	3

Characters and Unicode

Total characters	476234
Distinct characters	40
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Boys (14-15)
2nd row	Boys (16-17)
3rd row	Men
4th row	Men
5th row	Men

Common Values

Value	Count	Frequency (%)
Men	41537	48.7%
Women	19322	22.6%
Men (35-39)	4743	5.6%
Men (40-44)	3590	4.2%
Men (45-49)	2369	2.8%
Women (35-39)	2181	2.6%
Women (40-44)	1686	2.0%
Men (55-59)	1665	2.0%
Men (50-54)	1432	1.7%
Women (45-49)	996	1.2%
Other values (23)	3336	3.9%
(Missing)	2474	2.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
men	56640	54.0%
women	26128	24.9%
35-39	6924	6.6%
40-44	5276	5.0%
45-49	3365	3.2%
55-59	2402	2.3%
50-54	2053	2.0%
60-64	913	0.9%
65	547	0.5%
60	299	0.3%
Other values (15)	409	0.4%

Most occurring characters

Value	Count	Frequency (%)
e	82981	17.4%
n	82773	17.4%
M	56672	11.9%
m	26240	5.5%
o	26238	5.5%
W	26128	5.5%
4	25562	5.4%
5	22186	4.7%
	22099	4.6%
)	21876	4.6%
Other values (30)	83479	17.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	219591	46.1%
Decimal Number	85780	18.0%
Uppercase Letter	83104	17.5%
Space Separator	22099	4.6%
Close Punctuation	21876	4.6%
Open Punctuation	21876	4.6%
Dash Punctuation	21054	4.4%
Math Symbol	846	0.2%
Other Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	82981	37.8%
n	82773	37.7%
m	26240	11.9%
o	26238	11.9%
t	279	0.1%
r	237	0.1%
i	197	0.1%
y	166	0.1%
x	112	0.1%
s	94	< 0.1%
Other values (7)	274	0.1%

Uppercase Letter

Value	Count	Frequency (%)
M	56672	68.2%
W	26128	31.4%
E	112	0.1%
B	54	0.1%
U	40	< 0.1%
L	40	< 0.1%
G	35	< 0.1%
S	18	< 0.1%
V	5	< 0.1%

Decimal Number

Value	Count	Frequency (%)
4	25562	29.8%
5	22186	25.9%
3	13848	16.1%
9	12691	14.8%
0	8541	10.0%
6	2723	3.2%
1	178	0.2%
7	51	0.1%

Space Separator

Value	Count	Frequency (%)
	22099	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	21876	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	21876	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	21054	100.0%

Math Symbol

Value	Count	Frequency (%)
+	846	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	302695	63.6%
Common	173539	36.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	82981	27.4%
n	82773	27.3%
M	56672	18.7%
m	26240	8.7%
o	26238	8.7%
W	26128	8.6%
t	279	0.1%
r	237	0.1%
i	197	0.1%
y	166	0.1%
Other values (16)	784	0.3%

Common

Value	Count	Frequency (%)
4	25562	14.7%
5	22186	12.8%
	22099	12.7%
)	21876	12.6%
(	21876	12.6%
-	21054	12.1%
3	13848	8.0%
9	12691	7.3%
0	8541	4.9%
6	2723	1.6%
Other values (4)	1083	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	476234	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	82981	17.4%
n	82773	17.4%
M	56672	11.9%
m	26240	5.5%
o	26238	5.5%
W	26128	5.5%
4	25562	5.4%
5	22186	4.7%
	22099	4.6%
)	21876	4.6%
Other values (30)	83479	17.5%

Rank
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	14425
Distinct (%)	51.4%
Missing	57254
Missing (%)	67.1%
Infinite	0
Infinite (%)	0.0%
Mean	10411.523

Minimum	0
Maximum	157102
Zeros	5
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	0
5-th percentile	121
Q1	970
median	3781
Q3	11060
95-th percentile	47486.4
Maximum	157102
Range	157102
Interquartile range (IQR)	10090

Descriptive statistics

Standard deviation	17896.965
Coefficient of variation (CV)	1.7189574
Kurtosis	13.936827
Mean	10411.523
Median Absolute Deviation (MAD)	3302
Skewness	3.3647104
Sum	2.9232434 × 10⁸
Variance	3.2030136 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1653	39	< 0.1%
1355	33	< 0.1%
2132	23	< 0.1%
15	21	< 0.1%
913	19	< 0.1%
12	19	< 0.1%
9	18	< 0.1%
2306	18	< 0.1%
1	18	< 0.1%
182	17	< 0.1%
Other values (14415)	27852	32.6%
(Missing)	57254	67.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5	< 0.1%
1	18	< 0.1%
2	16	< 0.1%
3	15	< 0.1%
4	17	< 0.1%
5	11	< 0.1%
6	14	< 0.1%
7	13	< 0.1%
8	12	< 0.1%
9	18	< 0.1%

Value	Count	Frequency (%)
157102	1	< 0.1%
155374	1	< 0.1%
153679	1	< 0.1%
153121	1	< 0.1%
152619	1	< 0.1%
150939	1	< 0.1%
149948	1	< 0.1%
149633	1	< 0.1%
149448	1	< 0.1%
149414	1	< 0.1%

Games_Level
Categorical

IMBALANCE MISSING

Distinct	8
Distinct (%)	< 0.1%
Missing	57254
Missing (%)	67.1%
Memory size	666.8 KiB

worldwide	25791
North America East	840
North America West	598
Europe	491
Oceania	164
Other values (3)	193

Length

Max length	18
Median length	9
Mean length	9.392314
Min length	4

Characters and Unicode

Total characters	263708
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Africa
2nd row	Africa
3rd row	Africa
4th row	Africa
5th row	Africa

Common Values

Value	Count	Frequency (%)
worldwide	25791	30.2%
North America East	840	1.0%
North America West	598	0.7%
Europe	491	0.6%
Oceania	164	0.2%
South America	83	0.1%
Asia	64	0.1%
Africa	46	0.1%
(Missing)	57254	67.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
worldwide	25791	83.1%
america	1521	4.9%
north	1438	4.6%
east	840	2.7%
west	598	1.9%
europe	491	1.6%
oceania	164	0.5%
south	83	0.3%
asia	64	0.2%
africa	46	0.1%

Most occurring characters

Value	Count	Frequency (%)
w	51582	19.6%
d	51582	19.6%
r	29287	11.1%
e	28565	10.8%
o	27803	10.5%
i	27586	10.5%
l	25791	9.8%
t	2959	1.1%
	2959	1.1%
a	2799	1.1%
Other values (14)	12795	4.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	255504	96.9%
Uppercase Letter	5245	2.0%
Space Separator	2959	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	51582	20.2%
d	51582	20.2%
r	29287	11.5%
e	28565	11.2%
o	27803	10.9%
i	27586	10.8%
l	25791	10.1%
t	2959	1.2%
a	2799	1.1%
c	1731	0.7%
Other values (7)	5819	2.3%

Uppercase Letter

Value	Count	Frequency (%)
A	1631	31.1%
N	1438	27.4%
E	1331	25.4%
W	598	11.4%
O	164	3.1%
S	83	1.6%

Space Separator

Value	Count	Frequency (%)
	2959	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	260749	98.9%
Common	2959	1.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	51582	19.8%
d	51582	19.8%
r	29287	11.2%
e	28565	11.0%
o	27803	10.7%
i	27586	10.6%
l	25791	9.9%
t	2959	1.1%
a	2799	1.1%
c	1731	0.7%
Other values (13)	11064	4.2%

Common

Value	Count	Frequency (%)
	2959	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263708	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
w	51582	19.6%
d	51582	19.6%
r	29287	11.1%
e	28565	10.8%
o	27803	10.5%
i	27586	10.5%
l	25791	9.8%
t	2959	1.1%
	2959	1.1%
a	2799	1.1%
Other values (14)	12795	4.9%

Year
Categorical

CONSTANT MISSING

Distinct	1
Distinct (%)	< 0.1%
Missing	57254
Missing (%)	67.1%
Memory size	666.8 KiB

2023.0	28077

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	168462
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2023.0
2nd row	2023.0
3rd row	2023.0
4th row	2023.0
5th row	2023.0

Common Values

Value	Count	Frequency (%)
2023.0	28077	32.9%
(Missing)	57254	67.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2023.0	28077	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	56154	33.3%
0	56154	33.3%
3	28077	16.7%
.	28077	16.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	140385	83.3%
Other Punctuation	28077	16.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	56154	40.0%
0	56154	40.0%
3	28077	20.0%

Other Punctuation

Value	Count	Frequency (%)
.	28077	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	168462	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	56154	33.3%
0	56154	33.3%
3	28077	16.7%
.	28077	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	168462	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	56154	33.3%
0	56154	33.3%
3	28077	16.7%
.	28077	16.7%

Qualifier
Categorical

HIGH CORRELATION IMBALANCE MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	57254
Missing (%)	67.1%
Memory size	666.8 KiB

open	21917
quarterfinals	5752
semifinals	284
games	124

Length

Max length	13
Median length	4
Mean length	5.9088934
Min length	4

Characters and Unicode

Total characters	165904
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	quarterfinals
2nd row	quarterfinals
3rd row	quarterfinals
4th row	quarterfinals
5th row	quarterfinals

Common Values

Value	Count	Frequency (%)
open	21917	25.7%
quarterfinals	5752	6.7%
semifinals	284	0.3%
games	124	0.1%
(Missing)	57254	67.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
open	21917	78.1%
quarterfinals	5752	20.5%
semifinals	284	1.0%
games	124	0.4%

Most occurring characters

Value	Count	Frequency (%)
e	28077	16.9%
n	27953	16.8%
o	21917	13.2%
p	21917	13.2%
a	11912	7.2%
r	11504	6.9%
s	6444	3.9%
i	6320	3.8%
f	6036	3.6%
l	6036	3.6%
Other values (5)	17788	10.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	165904	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	28077	16.9%
n	27953	16.8%
o	21917	13.2%
p	21917	13.2%
a	11912	7.2%
r	11504	6.9%
s	6444	3.9%
i	6320	3.8%
f	6036	3.6%
l	6036	3.6%
Other values (5)	17788	10.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	165904	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	28077	16.9%
n	27953	16.8%
o	21917	13.2%
p	21917	13.2%
a	11912	7.2%
r	11504	6.9%
s	6444	3.9%
i	6320	3.8%
f	6036	3.6%
l	6036	3.6%
Other values (5)	17788	10.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	165904	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	28077	16.9%
n	27953	16.8%
o	21917	13.2%
p	21917	13.2%
a	11912	7.2%
r	11504	6.9%
s	6444	3.9%
i	6320	3.8%
f	6036	3.6%
l	6036	3.6%
Other values (5)	17788	10.7%

Back Squat (lbs)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	718
Distinct (%)	0.9%
Missing	7460
Missing (%)	8.7%
Infinite	0
Infinite (%)	0.0%
Mean	302.70883

Minimum	3
Maximum	1012
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	3
5-th percentile	165
Q1	235
median	305
Q3	365
95-th percentile	440.924
Maximum	1012
Range	1009
Interquartile range (IQR)	130

Descriptive statistics

Standard deviation	86.458188
Coefficient of variation (CV)	0.28561502
Kurtosis	0.16814343
Mean	302.70883
Median Absolute Deviation (MAD)	62.4918
Skewness	0.1574522
Sum	23572239
Variance	7475.0183
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
315	2277	2.7%
365	2005	2.3%
405	1879	2.2%
335	1683	2.0%
225	1597	1.9%
275	1546	1.8%
325	1539	1.8%
385	1498	1.8%
305	1425	1.7%
330.693	1387	1.6%
Other values (708)	61035	71.5%
(Missing)	7460	8.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	4	< 0.1%
4	4	< 0.1%
4.40924	3	< 0.1%
5	1	< 0.1%
6.61386	1	< 0.1%
7	3	< 0.1%
8.81848	1	< 0.1%
10	5	< 0.1%
11.0231	3	< 0.1%
12	1	< 0.1%

Value	Count	Frequency (%)
1012	1	< 0.1%
1000	1	< 0.1%
999	1	< 0.1%
930	1	< 0.1%
925	1	< 0.1%
903	1	< 0.1%
900	2	< 0.1%
892.8711	1	< 0.1%
890	2	< 0.1%
875	1	< 0.1%

Clean and Jerk (lbs)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	540
Distinct (%)	0.7%
Missing	10332
Missing (%)	12.1%
Infinite	0
Infinite (%)	0.0%
Mean	214.15083

Minimum	3
Maximum	587
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	3
5-th percentile	115
Q1	165.3465
median	215
Q3	255.73592
95-th percentile	315
Maximum	587
Range	584
Interquartile range (IQR)	90.38942

Descriptive statistics

Standard deviation	61.187089
Coefficient of variation (CV)	0.2857196
Kurtosis	-0.35089763
Mean	214.15083
Median Absolute Deviation (MAD)	45
Skewness	0.072199641
Sum	16061098
Variance	3743.8598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
225	3068	3.6%
245	2465	2.9%
185	2268	2.7%
205	2221	2.6%
235	2119	2.5%
275	2115	2.5%
265	2030	2.4%
255	1966	2.3%
215	1864	2.2%
165	1722	2.0%
Other values (530)	53161	62.3%
(Missing)	10332	12.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	< 0.1%
4.40924	1	< 0.1%
5	2	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
10	6	< 0.1%
11.0231	2	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
17	1	< 0.1%

Value	Count	Frequency (%)
587	1	< 0.1%
586.42892	1	< 0.1%
584.2243	1	< 0.1%
555.56424	1	< 0.1%
546.74576	1	< 0.1%
544.54114	1	< 0.1%
542.33652	1	< 0.1%
540.1319	1	< 0.1%
518.0857	1	< 0.1%
509.26722	1	< 0.1%

Deadlift (lbs)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	757
Distinct (%)	1.0%
Missing	5954
Missing (%)	7.0%
Infinite	0
Infinite (%)	0.0%
Mean	368.59866

Minimum	3
Maximum	1135.3793
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	3
5-th percentile	215
Q1	297.6237
median	374.7854
Q3	440.924
95-th percentile	515
Maximum	1135.3793
Range	1132.3793
Interquartile range (IQR)	143.3003

Descriptive statistics

Standard deviation	96.684367
Coefficient of variation (CV)	0.26230255
Kurtosis	-0.14509493
Mean	368.59866
Median Absolute Deviation (MAD)	70.2146
Skewness	-0.019742057
Sum	29258256
Variance	9347.8667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
405	3177	3.7%
425	2012	2.4%
365	1816	2.1%
455	1727	2.0%
315	1716	2.0%
440.924	1675	2.0%
415	1576	1.8%
435	1499	1.8%
385	1447	1.7%
396.8316	1415	1.7%
Other values (747)	61317	71.9%
(Missing)	5954	7.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	5	< 0.1%
4.40924	4	< 0.1%
5	3	< 0.1%
6	1	< 0.1%
6.61386	1	< 0.1%
7	2	< 0.1%
8	1	< 0.1%
8.81848	1	< 0.1%
10	3	< 0.1%
11.0231	4	< 0.1%

Value	Count	Frequency (%)
1135.3793	1	< 0.1%
1106.71924	1	< 0.1%
1102.31	1	< 0.1%
1100	1	< 0.1%
1000	1	< 0.1%
999	1	< 0.1%
986	1	< 0.1%
981.0559	1	< 0.1%
955	1	< 0.1%
901	1	< 0.1%

Snatch (lbs)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	458
Distinct (%)	0.6%
Missing	13051
Missing (%)	15.3%
Infinite	0
Infinite (%)	0.0%
Mean	164.93821

Minimum	1
Maximum	489.42564
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	1
5-th percentile	85
Q1	125
median	165
Q3	200.62042
95-th percentile	250
Maximum	489.42564
Range	488.42564
Interquartile range (IQR)	75.62042

Descriptive statistics

Standard deviation	51.210787
Coefficient of variation (CV)	0.31048469
Kurtosis	-0.25774085
Mean	164.93821
Median Absolute Deviation (MAD)	37.82504
Skewness	0.14910566
Sum	11921733
Variance	2622.5447
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
185	2968	3.5%
135	2660	3.1%
165	2516	2.9%
155	2494	2.9%
175	2257	2.6%
205	2118	2.5%
145	1923	2.3%
225	1895	2.2%
115	1866	2.2%
125	1661	1.9%
Other values (448)	49922	58.5%
(Missing)	13051	15.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	32	< 0.1%
2	4	< 0.1%
2.20462	25	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
4.40924	2	< 0.1%
5	4	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8.81848	1	< 0.1%

Value	Count	Frequency (%)
489.42564	2	< 0.1%
476.19792	1	< 0.1%
462.9702	1	< 0.1%
455	1	< 0.1%
440.924	2	< 0.1%
421.08242	1	< 0.1%
415	1	< 0.1%
412.26394	1	< 0.1%
412	1	< 0.1%
407.8547	2	< 0.1%

Fight Gone Bad
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	493
Distinct (%)	2.3%
Missing	63744
Missing (%)	74.7%
Infinite	0
Infinite (%)	0.0%
Mean	310.99018

Minimum	15
Maximum	978
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	15
5-th percentile	211
Q1	269
median	309
Q3	350
95-th percentile	419
Maximum	978
Range	963
Interquartile range (IQR)	81

Descriptive statistics

Standard deviation	66.549543
Coefficient of variation (CV)	0.21399243
Kurtosis	4.5946989
Mean	310.99018
Median Absolute Deviation (MAD)	40
Skewness	0.57497997
Sum	6713345
Variance	4428.8417
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
300	236	0.3%
301	215	0.3%
315	214	0.3%
308	194	0.2%
302	185	0.2%
306	177	0.2%
307	175	0.2%
325	175	0.2%
305	174	0.2%
312	172	0.2%
Other values (483)	19670	23.1%
(Missing)	63744	74.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	6	< 0.1%
17	2	< 0.1%
20	4	< 0.1%
21	1	< 0.1%
25	4	< 0.1%
28	2	< 0.1%
30	3	< 0.1%
31	1	< 0.1%
32	1	< 0.1%
33	1	< 0.1%

Value	Count	Frequency (%)
978	2	< 0.1%
959	1	< 0.1%
923	1	< 0.1%
892	1	< 0.1%
890	1	< 0.1%
879	1	< 0.1%
876	1	< 0.1%
832	2	< 0.1%
812	1	< 0.1%
789	1	< 0.1%

Max Pull-ups
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	133
Distinct (%)	0.4%
Missing	49677
Missing (%)	58.2%
Infinite	0
Infinite (%)	0.0%
Mean	31.997981

Minimum	1
Maximum	627
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	1
5-th percentile	7
Q1	20
median	30
Q3	42
95-th percentile	60
Maximum	627
Range	626
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	18.585165
Coefficient of variation (CV)	0.58082305
Kurtosis	119.31764
Mean	31.997981
Median Absolute Deviation (MAD)	11
Skewness	5.0532093
Sum	1140856
Variance	345.40835
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	2612	3.1%
50	1872	2.2%
40	1822	2.1%
25	1809	2.1%
20	1701	2.0%
35	1372	1.6%
15	1241	1.5%
21	1126	1.3%
10	1122	1.3%
45	880	1.0%
Other values (123)	20097	23.6%
(Missing)	49677	58.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	287	0.3%
2	198	0.2%
3	310	0.4%
4	168	0.2%
5	477	0.6%
6	257	0.3%
7	282	0.3%
8	331	0.4%
9	148	0.2%
10	1122	1.3%

Value	Count	Frequency (%)
627	1	< 0.1%
614	1	< 0.1%
553	1	< 0.1%
500	2	< 0.1%
438	1	< 0.1%
420	1	< 0.1%
400	1	< 0.1%
304	1	< 0.1%
300	3	< 0.1%
235	1	< 0.1%

Chad1000x (s)
Real number (ℝ)

MISSING

Distinct	458
Distinct (%)	84.8%
Missing	84791
Missing (%)	99.4%
Infinite	0
Infinite (%)	0.0%
Mean	4057.6093

Minimum	1695
Maximum	8956
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	1695
5-th percentile	2914.3
Q1	3430.75
median	3896.5
Q3	4516.75
95-th percentile	5726.15
Maximum	8956
Range	7261
Interquartile range (IQR)	1086

Descriptive statistics

Standard deviation	937.69773
Coefficient of variation (CV)	0.23109611
Kurtosis	4.490248
Mean	4057.6093
Median Absolute Deviation (MAD)	536.5
Skewness	1.5157557
Sum	2191109
Variance	879277.04
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3900	6	< 0.1%
4020	5	< 0.1%
3600	5	< 0.1%
4560	5	< 0.1%
4320	4	< 0.1%
3360	3	< 0.1%
4800	3	< 0.1%
3840	3	< 0.1%
3540	3	< 0.1%
3539	3	< 0.1%
Other values (448)	500	0.6%
(Missing)	84791	99.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1695	1	< 0.1%
2068	1	< 0.1%
2280	1	< 0.1%
2382	1	< 0.1%
2483	1	< 0.1%
2557	1	< 0.1%
2573	1	< 0.1%
2604	1	< 0.1%
2627	1	< 0.1%
2635	1	< 0.1%

Value	Count	Frequency (%)
8956	1	< 0.1%
8760	1	< 0.1%
8664	1	< 0.1%
8461	1	< 0.1%
7968	1	< 0.1%
7200	1	< 0.1%
7140	1	< 0.1%
6907	1	< 0.1%
6831	1	< 0.1%
6365	1	< 0.1%

L1 Benchmark (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	115
Distinct (%)	77.2%
Missing	85182
Missing (%)	99.8%
Infinite	0
Infinite (%)	0.0%
Mean	357.51678

Minimum	10
Maximum	1800
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	10
5-th percentile	174.8
Q1	245
median	321
Q3	395
95-th percentile	618.6
Maximum	1800
Range	1790
Interquartile range (IQR)	150

Descriptive statistics

Standard deviation	215.49044
Coefficient of variation (CV)	0.60274217
Kurtosis	21.679417
Mean	357.51678
Median Absolute Deviation (MAD)	74
Skewness	3.9244697
Sum	53270
Variance	46436.13
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
360	5	< 0.1%
395	4	< 0.1%
300	4	< 0.1%
243	3	< 0.1%
312	3	< 0.1%
267	2	< 0.1%
600	2	< 0.1%
244	2	< 0.1%
268	2	< 0.1%
403	2	< 0.1%
Other values (105)	120	0.1%
(Missing)	85182	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	1	< 0.1%
62	1	< 0.1%
65	1	< 0.1%
119	1	< 0.1%
135	1	< 0.1%
162	1	< 0.1%
163	1	< 0.1%
172	1	< 0.1%
179	1	< 0.1%
180	2	< 0.1%

Value	Count	Frequency (%)
1800	1	< 0.1%
1625	1	< 0.1%
1200	1	< 0.1%
850	1	< 0.1%
681	1	< 0.1%
677	1	< 0.1%
656	1	< 0.1%
625	1	< 0.1%
609	1	< 0.1%
600	2	< 0.1%

Filthy 50 (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	1811
Distinct (%)	12.2%
Missing	70433
Missing (%)	82.5%
Infinite	0
Infinite (%)	0.0%
Mean	1567.2269

Minimum	310
Maximum	3599
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	310
5-th percentile	1063.85
Q1	1298
median	1519
Q3	1774
95-th percentile	2254
Maximum	3599
Range	3289
Interquartile range (IQR)	476

Descriptive statistics

Standard deviation	377.34844
Coefficient of variation (CV)	0.24077461
Kurtosis	1.6523825
Mean	1567.2269
Median Absolute Deviation (MAD)	236
Skewness	0.89238922
Sum	23348546
Variance	142391.84
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	97	0.1%
1500	83	0.1%
1200	68	0.1%
1320	59	0.1%
1680	57	0.1%
1740	53	0.1%
1440	53	0.1%
1620	49	0.1%
1350	48	0.1%
1260	47	0.1%
Other values (1801)	14284	16.7%
(Missing)	70433	82.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
310	1	< 0.1%
315	1	< 0.1%
325	1	< 0.1%
330	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
355	1	< 0.1%
368	1	< 0.1%
435	1	< 0.1%
480	2	< 0.1%

Value	Count	Frequency (%)
3599	2	< 0.1%
3591	1	< 0.1%
3537	1	< 0.1%
3510	1	< 0.1%
3504	1	< 0.1%
3483	1	< 0.1%
3404	1	< 0.1%
3395	1	< 0.1%
3360	3	< 0.1%
3355	1	< 0.1%

Fran (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	856
Distinct (%)	1.9%
Missing	39621
Missing (%)	46.4%
Infinite	0
Infinite (%)	0.0%
Mean	284.89453

Minimum	72
Maximum	3552
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	72
5-th percentile	140
Q1	186
median	254
Q3	346
95-th percentile	528
Maximum	3552
Range	3480
Interquartile range (IQR)	160

Descriptive statistics

Standard deviation	144.11868
Coefficient of variation (CV)	0.50586678
Kurtosis	67.466591
Mean	284.89453
Median Absolute Deviation (MAD)	76
Skewness	4.7074386
Sum	13022529
Variance	20770.193
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
210	384	0.5%
178	377	0.4%
270	321	0.4%
240	315	0.4%
150	306	0.4%
180	287	0.3%
177	275	0.3%
179	272	0.3%
195	272	0.3%
225	270	0.3%
Other values (846)	42631	50.0%
(Missing)	39621	46.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
72	3	< 0.1%
75	2	< 0.1%
76	2	< 0.1%
78	1	< 0.1%
79	1	< 0.1%
80	3	< 0.1%
85	1	< 0.1%
86	1	< 0.1%
89	1	< 0.1%
90	1	< 0.1%

Value	Count	Frequency (%)
3552	1	< 0.1%
3540	1	< 0.1%
3480	2	< 0.1%
3355	1	< 0.1%
3348	1	< 0.1%
3258	1	< 0.1%
3165	1	< 0.1%
3007	1	< 0.1%
2854	1	< 0.1%
2730	1	< 0.1%

Grace (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	738
Distinct (%)	2.0%
Missing	48249
Missing (%)	56.5%
Infinite	0
Infinite (%)	0.0%
Mean	199.70781

Minimum	14
Maximum	3480
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	14
5-th percentile	99
Q1	135
median	175
Q3	232
95-th percentile	372
Maximum	3480
Range	3466
Interquartile range (IQR)	97

Descriptive statistics

Standard deviation	113.19433
Coefficient of variation (CV)	0.5667997
Kurtosis	115.67113
Mean	199.70781
Median Absolute Deviation (MAD)	45
Skewness	6.6977437
Sum	7405565
Variance	12812.956
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
118	438	0.5%
150	407	0.5%
178	397	0.5%
180	371	0.4%
165	334	0.4%
210	328	0.4%
160	324	0.4%
140	309	0.4%
135	307	0.4%
120	295	0.3%
Other values (728)	33572	39.3%
(Missing)	48249	56.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
14	1	< 0.1%
21	1	< 0.1%
22	1	< 0.1%
30	1	< 0.1%
32	3	< 0.1%
46	1	< 0.1%
47	1	< 0.1%
49	1	< 0.1%
50	2	< 0.1%
52	1	< 0.1%

Value	Count	Frequency (%)
3480	1	< 0.1%
3362	1	< 0.1%
3355	1	< 0.1%
3000	1	< 0.1%
2820	1	< 0.1%
2745	1	< 0.1%
2723	1	< 0.1%
2574	1	< 0.1%
2279	1	< 0.1%
1920	1	< 0.1%

Helen (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	900
Distinct (%)	3.4%
Missing	58791
Missing (%)	68.9%
Infinite	0
Infinite (%)	0.0%
Mean	619.02253

Minimum	300
Maximum	3363
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	300
5-th percentile	455
Q1	524
median	590
Q3	684
95-th percentile	867
Maximum	3363
Range	3063
Interquartile range (IQR)	160

Descriptive statistics

Standard deviation	149.69709
Coefficient of variation (CV)	0.24182817
Kurtosis	45.051205
Mean	619.02253
Median Absolute Deviation (MAD)	76
Skewness	3.9126719
Sum	16428858
Variance	22409.218
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
570	180	0.2%
540	171	0.2%
510	167	0.2%
585	161	0.2%
530	148	0.2%
600	139	0.2%
520	136	0.2%
598	135	0.2%
478	133	0.2%
480	133	0.2%
Other values (890)	25037	29.3%
(Missing)	58791	68.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
300	4	< 0.1%
301	1	< 0.1%
305	2	< 0.1%
306	1	< 0.1%
307	1	< 0.1%
308	1	< 0.1%
309	1	< 0.1%
310	1	< 0.1%
312	1	< 0.1%
315	1	< 0.1%

Value	Count	Frequency (%)
3363	1	< 0.1%
3355	1	< 0.1%
3271	1	< 0.1%
3252	1	< 0.1%
3202	1	< 0.1%
3198	1	< 0.1%
3130	1	< 0.1%
3124	1	< 0.1%
2956	1	< 0.1%
2715	1	< 0.1%

Run 5k (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	1545
Distinct (%)	5.1%
Missing	54881
Missing (%)	64.3%
Infinite	0
Infinite (%)	0.0%
Mean	1440.4465

Minimum	761
Maximum	3585
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	761
5-th percentile	1110
Q1	1258
median	1389
Q3	1573
95-th percentile	1920
Maximum	3585
Range	2824
Interquartile range (IQR)	315

Descriptive statistics

Standard deviation	277.28966
Coefficient of variation (CV)	0.19250257
Kurtosis	6.0663376
Mean	1440.4465
Median Absolute Deviation (MAD)	156
Skewness	1.7101892
Sum	43861597
Variance	76889.557
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1500	685	0.8%
1260	662	0.8%
1320	624	0.7%
1200	540	0.6%
1440	538	0.6%
1380	524	0.6%
1620	412	0.5%
1680	397	0.5%
1800	352	0.4%
1350	320	0.4%
Other values (1535)	25396	29.8%
(Missing)	54881	64.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
761	1	< 0.1%
767	1	< 0.1%
768	1	< 0.1%
780	1	< 0.1%
792	1	< 0.1%
808	1	< 0.1%
810	1	< 0.1%
820	1	< 0.1%
828	1	< 0.1%
831	1	< 0.1%

Value	Count	Frequency (%)
3585	1	< 0.1%
3562	1	< 0.1%
3556	1	< 0.1%
3544	2	< 0.1%
3540	3	< 0.1%
3538	1	< 0.1%
3527	1	< 0.1%
3517	1	< 0.1%
3515	1	< 0.1%
3501	1	< 0.1%

Sprint 400m (s)
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	194
Distinct (%)	1.0%
Missing	66642
Missing (%)	78.1%
Infinite	0
Infinite (%)	0.0%
Mean	77.348066

Minimum	44
Maximum	378
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	666.8 KiB

Quantile statistics

Minimum	44
5-th percentile	54
Q1	63
median	72
Q3	86
95-th percentile	115
Maximum	378
Range	334
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	23.870818
Coefficient of variation (CV)	0.30861558
Kurtosis	27.617896
Mean	77.348066
Median Absolute Deviation (MAD)	11
Skewness	3.8007526
Sum	1445558
Variance	569.81597
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	772	0.9%
65	767	0.9%
60	754	0.9%
75	723	0.8%
80	617	0.7%
62	550	0.6%
90	539	0.6%
58	523	0.6%
63	507	0.6%
66	482	0.6%
Other values (184)	12455	14.6%
(Missing)	66642	78.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
44	4	< 0.1%
45	14	< 0.1%
46	17	< 0.1%
47	28	< 0.1%
48	55	0.1%
49	83	0.1%
50	103	0.1%
51	107	0.1%
52	205	0.2%
53	141	0.2%

Value	Count	Frequency (%)
378	1	< 0.1%
366	1	< 0.1%
365	1	< 0.1%
364	1	< 0.1%
362	1	< 0.1%
349	1	< 0.1%
346	1	< 0.1%
337	1	< 0.1%
331	1	< 0.1%
330	1	< 0.1%

Auto

Heatmap
Table

	Back Squat (lbs)	Chad1000x (s)	Clean and Jerk (lbs)	Deadlift (lbs)	Division	Fight Gone Bad	Filthy 50 (s)	Fran (s)	Games_Level	Grace (s)	Helen (s)	L1 Benchmark (s)	Max Pull-ups	Qualifier	Rank	Run 5k (s)	Snatch (lbs)	Sprint 400m (s)
Back Squat (lbs)	1.000	-0.030	0.904	0.910	0.240	0.494	-0.318	-0.567	0.056	-0.522	-0.444	-0.371	0.518	0.103	-0.069	-0.341	0.874	-0.433
Chad1000x (s)	-0.030	1.000	-0.076	-0.015	0.147	-0.231	0.245	0.228	0.136	0.164	0.288	0.196	-0.156	0.000	-0.011	0.261	-0.118	0.291
Clean and Jerk (lbs)	0.904	-0.076	1.000	0.879	0.269	0.569	-0.388	-0.642	0.090	-0.591	-0.518	-0.491	0.602	0.140	-0.078	-0.402	0.953	-0.503
Deadlift (lbs)	0.910	-0.015	0.879	1.000	0.263	0.494	-0.311	-0.523	0.052	-0.500	-0.454	-0.350	0.514	0.101	-0.040	-0.369	0.843	-0.447
Division	0.240	0.147	0.269	0.263	1.000	-0.242	0.147	0.236	0.169	0.143	0.291	0.132	-0.359	0.097	-0.319	0.347	-0.621	0.367
Fight Gone Bad	0.494	-0.231	0.569	0.494	-0.242	1.000	-0.652	-0.701	0.059	-0.634	-0.674	-0.605	0.573	0.171	-0.275	-0.513	0.576	-0.507
Filthy 50 (s)	-0.318	0.245	-0.388	-0.311	0.147	-0.652	1.000	0.643	0.043	0.481	0.654	0.536	-0.544	0.145	0.264	0.497	-0.399	0.447
Fran (s)	-0.567	0.228	-0.642	-0.523	0.236	-0.701	0.643	1.000	0.038	0.676	0.721	0.656	-0.725	0.094	0.314	0.470	-0.651	0.494
Games_Level	0.056	0.136	0.090	0.052	0.169	0.059	0.043	0.038	1.000	0.208	0.161	0.240	-0.199	0.338	0.314	0.132	-0.209	0.143
Grace (s)	-0.522	0.164	-0.591	-0.500	0.143	-0.634	0.481	0.676	0.208	1.000	0.518	0.573	-0.473	0.047	0.261	0.309	-0.592	0.391
Helen (s)	-0.444	0.288	-0.518	-0.454	0.291	-0.674	0.654	0.721	0.161	0.518	1.000	0.557	-0.662	0.127	0.234	0.616	-0.523	0.590
L1 Benchmark (s)	-0.371	0.196	-0.491	-0.350	0.132	-0.605	0.536	0.656	0.240	0.573	0.557	1.000	-0.510	0.220	0.333	0.450	-0.489	0.425
Max Pull-ups	0.518	-0.156	0.602	0.514	-0.359	0.573	-0.544	-0.725	-0.199	-0.473	-0.662	-0.510	1.000	0.089	-0.244	-0.486	0.614	-0.516
Qualifier	0.103	0.000	0.140	0.101	0.097	0.171	0.145	0.094	0.338	0.047	0.127	0.220	0.089	1.000	-0.595	-0.162	0.207	-0.150
Rank	-0.069	-0.011	-0.078	-0.040	-0.319	-0.275	0.264	0.314	0.314	0.261	0.234	0.333	-0.244	-0.595	1.000	0.158	-0.088	0.101
Run 5k (s)	-0.341	0.261	-0.402	-0.369	0.347	-0.513	0.497	0.470	0.132	0.309	0.616	0.450	-0.486	-0.162	0.158	1.000	-0.398	0.606
Snatch (lbs)	0.874	-0.118	0.953	0.843	-0.621	0.576	-0.399	-0.651	-0.209	-0.592	-0.523	-0.489	0.614	0.207	-0.088	-0.398	1.000	-0.489
Sprint 400m (s)	-0.433	0.291	-0.503	-0.447	0.367	-0.507	0.447	0.494	0.143	0.391	0.590	0.425	-0.516	-0.150	0.101	0.606	-0.489	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Athlete	Affiliate	Country	Region	Division	Rank	Games_Level	Year	Qualifier	Back Squat (lbs)	Clean and Jerk (lbs)	Deadlift (lbs)	Snatch (lbs)	Fight Gone Bad	Max Pull-ups	Chad1000x (s)	L1 Benchmark (s)	Filthy 50 (s)	Fran (s)	Grace (s)	Helen (s)	Run 5k (s)	Sprint 400m (s)
0	Yagiz Diyaroglu	NaN	NaN	Africa	Boys (14-15)	NaN	NaN	NaN	NaN	187.3927	NaN	242.50820	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
1	Jandré Erasmus	NaN	NaN	Africa	Boys (16-17)	NaN	NaN	NaN	NaN	265.0000	174.00000	342.00000	NaN	NaN	35.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
2	Roan van Heerden	CrossFit 10 Star	NaN	Africa	Men	NaN	NaN	NaN	NaN	220.4620	176.36960	264.55440	132.27720	291.0	1.0	NaN	NaN	NaN	540.0	NaN	NaN	2400.0	120.0
3	David Swarts	Cape CrossFit	NaN	Africa	Men	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
4	Colin Pinkham	NaN	NaN	Africa	Men	NaN	NaN	NaN	NaN	264.5544	163.14188	365.96692	103.61714	NaN	3.0	NaN	NaN	NaN	NaN	NaN	NaN	1731.0	NaN
5	Aaron White	NaN	NaN	Africa	Men	NaN	NaN	NaN	NaN	330.6930	187.39270	429.90090	143.30030	267.0	5.0	NaN	NaN	NaN	NaN	236.0	NaN	1757.0	90.0
6	Tobi Showunmi	CrossFit Greater Heights	NaN	Africa	Men	NaN	NaN	NaN	NaN	175.0000	100.00000	150.00000	100.00000	NaN	5.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
7	Justin Behrendt	NaN	NaN	Africa	Men	NaN	NaN	NaN	NaN	352.7392	198.41580	440.92400	132.27720	NaN	5.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
8	Ernst Veldsman	Higher Life CrossFit	NaN	Africa	Men	NaN	NaN	NaN	NaN	352.7392	264.55440	485.01640	187.39270	NaN	7.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN
9	Christopher Webster	CrossFit Impi	NaN	Africa	Men	NaN	NaN	NaN	NaN	NaN	141.09568	275.57750	NaN	262.0	8.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	62.0

	Athlete	Affiliate	Country	Region	Division	Rank	Games_Level	Year	Qualifier	Back Squat (lbs)	Clean and Jerk (lbs)	Deadlift (lbs)	Snatch (lbs)	Fight Gone Bad	Max Pull-ups	Chad1000x (s)	L1 Benchmark (s)	Filthy 50 (s)	Fran (s)	Grace (s)	Helen (s)	Run 5k (s)	Sprint 400m (s)
85321	Thomas Cheek	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1200.0	NaN
85322	Thomas Pacher	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1245.0	NaN
85323	Tim Kütemeyer	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	869.0	52.0
85324	Todd Irwin	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1418.0	NaN
85325	Tony Ubertaccio	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	250.0	NaN	NaN	NaN	NaN
85326	Troels Kjær Aaskilde	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1196.0	NaN
85327	Wafik Abed El Malak	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1220.0	NaN
85328	Will Marshall	CrossFit Athletics	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	187.0	NaN	NaN	NaN	NaN	NaN	252.0	NaN	NaN	NaN	NaN
85329	Wouter Vanloffelt	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1185.0	64.0
85330	Zachary Trolley	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	90.0	NaN	NaN	NaN	NaN

Most frequently occurring

	Athlete	Affiliate	Region	Division	Rank	Games_Level	Year	Qualifier	Back Squat (lbs)	Clean and Jerk (lbs)	Deadlift (lbs)	Snatch (lbs)	Fight Gone Bad	Max Pull-ups	Chad1000x (s)	L1 Benchmark (s)	Filthy 50 (s)	Fran (s)	Grace (s)	Helen (s)	Run 5k (s)	Sprint 400m (s)	# duplicates
0	Aaron McNulty	CrossFit Frankfort	worldwide	Men (45-49)	10619.0	worldwide	2023.0	open	315.0000	195.0000	435.0000	175.00000	NaN	10.0	NaN	NaN	NaN	474.0	NaN	831.0	1680.0	72.0	2
1	Aaron Newman	CrossFit Catonsville	worldwide	Men (40-44)	21776.0	worldwide	2023.0	open	235.0000	145.0000	340.0000	85.00000	186.0	8.0	NaN	NaN	1665.0	480.0	277.0	773.0	NaN	NaN	2
2	Abbie Micke	Black Iron CrossFit	United States	Women	NaN	NaN	NaN	NaN	195.0000	154.3234	265.0000	132.27720	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1864.0	NaN	2
3	Abel Joseph	NaN	North America	Men	NaN	NaN	NaN	NaN	335.0000	225.0000	385.0000	185.00000	207.0	8.0	NaN	NaN	3065.0	813.0	262.0	1051.0	1896.0	92.0	2
4	Abigail Pauls	CrossFit Strength Station	United Kingdom	Women	NaN	NaN	NaN	NaN	175.0000	125.0000	195.0000	100.00000	NaN	NaN	NaN	NaN	3133.0	576.0	NaN	860.0	1583.0	NaN	2
5	Adam Rivera Figueroa	NaN	Latin America	Men	NaN	NaN	NaN	NaN	315.0000	245.0000	355.0000	210.00000	NaN	36.0	NaN	NaN	1594.0	195.0	171.0	NaN	1310.0	51.0	2
6	Adrian Diaz de Leon	NaN	Latin America	Men	NaN	NaN	NaN	NaN	265.0000	185.0000	395.0000	165.00000	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1725.0	65.0	2
7	Agoutin Brice	Fair Fight CrossFit	worldwide	Men (35-39)	8276.0	worldwide	2023.0	open	264.5544	220.4620	385.8085	169.75574	NaN	43.0	NaN	NaN	NaN	239.0	NaN	NaN	1500.0	NaN	2
8	Alan Zedaker	NaN	worldwide	Men (35-39)	1342.0	worldwide	2023.0	quarterfinals	400.0000	300.0000	510.0000	205.00000	NaN	NaN	NaN	NaN	1564.0	232.0	169.0	558.0	1299.0	NaN	2
9	Aldrin Pineda	CrossFit Invictus Back Bay	worldwide	Men (35-39)	18852.0	worldwide	2023.0	open	385.0000	235.0000	455.0000	165.00000	NaN	3.0	NaN	NaN	NaN	NaN	NaN	NaN	1955.0	NaN	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Letter

Decimal Number

Other Punctuation

Dash Punctuation

Final Punctuation

Space Separator

Open Punctuation

Close Punctuation

Modifier Symbol

Currency Symbol

Other Number

Connector Punctuation

Other Symbol

Initial Punctuation

Most occurring scripts

Most frequent character per script

Latin

Cyrillic

Common

Greek

Hangul

Most occurring blocks

Most frequent character per block

ASCII

None

Cyrillic

Punctuation

Hangul

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Format

Final Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Punctuation

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

None

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter